Geo statisticals#

The following functions use a simple dataframe, so you can understand what the variables may look like in your own project.

Dataframe#

>>> d = {'col1': [1, 9, 3, 6, 20, 8, 3, 1, 30, 5]}
>>> df = pd.DataFrame(data=d)
        col1
0       1
1       9
2       3
3       6
4       20
5       8
6       3
7       1
8       30
9       5
TSCC.correction.geo_statisticals.getGeoStatValue(loc, loc_stations, vals_at_stations, edges, method='idw', remove_missing=False)[source]#

Keine Ahnung.

Parameters:
loclist of length two

Coordinates to transform. For input use loc format like this [lat, lon].

loc_stationslist???

Location of some stations.???

vals_at_stations???
edgesarray from function getGrid()???
methodstr, optional

Method to use for interpolation. The default is ‘idw’.

remove_missingboolean, optional

Remove missing values??? The default is False.

Returns:

Examples

>>> ohne Beispiel?
TSCC.correction.geo_statisticals.getGrid(loc, r, n_steps=50)[source]#

Receive a grid around your location.

Parameters:
locList of length two

Coordinates to transform. For input use loc format like this [lat, lon].

rinteger

Radius from your location in [m].

n_stepsnumber, optional

Number of points you want to get. The default is 50.

Returns:
array

A number of coordinates???

Examples

>>> loc = [51.516666, 7.100000] # lat, lon of Gelsenkirchen
>>> r = 20000
>>> test = getGrid(loc, r, n_steps=50)
array([[-19948.483334  , -19992.9       ],
       [-19132.15680339, -19992.9       ],
       [-18315.83027278, -19992.9       ],
       ...,
       [ 18418.86360478,  20007.1       ],
       [ 19235.19013539,  20007.1       ],
       [ 20051.516666  ,  20007.1       ]])
TSCC.correction.geo_statisticals.getInterpolation(arr_stations, arr_grid, s_method='idw', remove_missing=False)[source]#

Creates a modell for geostatical interpolation for the stations arr_stations in the grid arr_grid

Parameters:
arr_stationsnumpy.array

Contains utm coordinates of the stations.

arr_gridnumpy.array

Contains the grid in which the stations are in and to interpolate values for these points.

s_methodstr, optional

Method to use for interpolation. The default is ‘idw’.

remove_missingboolean, optional

Remove missing values??? The default is False.

Returns:
modellfunction

Map the grid points depending on input values at the stations.

Examples

>>> ohne Beispiel?
TSCC.correction.geo_statisticals.getPlot(loc_stations, mid_X, mid_Y, r, vals_at_stations, remove_missing=False)[source]#

Create a plot of your ???

Returns:
plot

A plot of ???

Examples

>>> ohne Beispiel?
TSCC.correction.geo_statisticals.getValueFromGrid(arr_grid, loc, arr_I)[source]#

Finding nearest station and get the ???

Parameters:
arr_gridarray from function getGrid()???
loclist of length two

Coordinates to transform. For input use loc format like this [lat, lon].

arr_I???
Returns:
float???

Examples

>>> ohne Beispiel?
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